Description
How many seconds are there in q century?
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Century = 3.15569e^9 sec
Completion Status:
100%
Review
Review
Anonymous
Really useful study material!
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
Need precalc help with parametric equations
The position of a bug is described by the parametric equations x=2-12t and y= 1 + 5t, with t in seconds and x,y in centime ...
Need precalc help with parametric equations
The position of a bug is described by the parametric equations x=2-12t and y= 1 + 5t, with t in seconds and x,y in centimeters. Explain why the speed of the bug is 13 cm/sec. Change the equations to obtain the description of a bug moving along the same line with a speed of 26 cm/sec.
5 pages
100% original answers
1> Calculate the sample size needed given these factors:
one-tailed t-test with two independent groups of equal size
sma ...
100% original answers
1> Calculate the sample size needed given these factors:
one-tailed t-test with two independent groups of equal size
small effect size (see Piasta, S.B., & Justice, L.M., 2010)
alpha =.05
beta = .2
Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample half the size. Indicate the resulting alpha and beta. Present an argument that your study is worth doing with the smaller sample.
2> Calculate the sample size needed given these factors:
ANOVA (fixed effects, omnibus, one-way) small effect size
alpha =.05
beta = .2
3 groups
Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample approximately half the size. Give your rationale for your selected beta/alpha ratio. Indicate the resulting alpha and beta. Give an argument that your study is worth doing with the smaller sample.
University of California San Diego Applied Statistical Models Using R Markdown
Using R Markdown. All R code should be included, as well as all output produced.
University of California San Diego Applied Statistical Models Using R Markdown
Using R Markdown. All R code should be included, as well as all output produced.
MATTH 225N Chamberlain College Wk 7 Statistical Reasoning Lab Questions
Demonstrate
Steps to Complete the Week 7 Lab
Step 1: Find these articles in the Chamberlain Library. Once you click each l ...
MATTH 225N Chamberlain College Wk 7 Statistical Reasoning Lab Questions
Demonstrate
Steps to Complete the Week 7 Lab
Step 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text".
First Article: Confidence Intervals, Part 1 (Links to an external site.)
Second Article: Confidence Intervals, Part 2 (Links to an external site.)
Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.
Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with plus the 10 heights provided by your instructor), discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random). What are some faults with this type of data collection? What other types of data collection could you have used, and how might this have affected your study?
Step 4: Now use the Week 6 Spreadsheet to help you with calculations for the following questions/statements.
a) Give a point estimate (mean) for the average height of all people at the place where you work. Start by putting the 20 heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?
b) Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval? [see screenshot below]
c) Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").
d) Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheet
Step 5: Now, change your confidence level to 99% for the same data, and post a screenshot of this table, as well.
Step 6: Compare the margins of error from the two screenshots. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the depen ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the dependent variable.Student Success CriteriaView the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmWhat to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slide
Slide 2: Introduce your scenario and data set including the variables provided.
Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.
Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.
Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.
Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.
Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.
Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
Similar Content
Broad Run High School Line Symmetry & Transformation in Geometry Questions
I would like the answers to these 6 questions it's about symmetry and transformation I put the questions down below so you...
"Algorithm Analysis" Please respond to the following:
Analyze the most important concept or method of discrete mathematics
used to analyze algorithms. Provide a rationale wit...
I need help with a math problem
...
Geometry and Engineering Math Questions
https://docs.google.com/document/d/1OL9vpFHWsY1jsb...1. A light beam is reflected (angle of incidence = angle of reflectio...
Mathematics consists of a lot of concepts expressed in terms of symbols, homework help
Mathematics consists of a lot of concepts expressed in terms of symbols, formulas and other mathematical notation. For exa...
The Walk to 15th and M
The thriving metropolis of Podunk is laid out in squares. A man who lives at 8th Street and Avenue F bowls at alleys locat...
Related Tags
Book Guides
The Adventures of Huckleberry Finn
by Mark Twain
The Scarlet Letter
by Nathaniel Hawthorne
Frankenstein
by Mary Shelley
Cry the Beloved Country
by Alan Paton
Underground A Human History of the Worlds Beneath our Feet
by Will Hunt
Narrative of the Life of Frederick Douglass
by Frederick Douglass
Night
by Elie Wiesel
The Hunger Games
by Suzanne Collins
The Secret Garden
by Frances Hodgson Burnett
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Need precalc help with parametric equations
The position of a bug is described by the parametric equations x=2-12t and y= 1 + 5t, with t in seconds and x,y in centime ...
Need precalc help with parametric equations
The position of a bug is described by the parametric equations x=2-12t and y= 1 + 5t, with t in seconds and x,y in centimeters. Explain why the speed of the bug is 13 cm/sec. Change the equations to obtain the description of a bug moving along the same line with a speed of 26 cm/sec.
5 pages
100% original answers
1> Calculate the sample size needed given these factors:
one-tailed t-test with two independent groups of equal size
sma ...
100% original answers
1> Calculate the sample size needed given these factors:
one-tailed t-test with two independent groups of equal size
small effect size (see Piasta, S.B., & Justice, L.M., 2010)
alpha =.05
beta = .2
Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample half the size. Indicate the resulting alpha and beta. Present an argument that your study is worth doing with the smaller sample.
2> Calculate the sample size needed given these factors:
ANOVA (fixed effects, omnibus, one-way) small effect size
alpha =.05
beta = .2
3 groups
Assume that the result is a sample size beyond what you can obtain. Use the compromise function to compute alpha and beta for a sample approximately half the size. Give your rationale for your selected beta/alpha ratio. Indicate the resulting alpha and beta. Give an argument that your study is worth doing with the smaller sample.
University of California San Diego Applied Statistical Models Using R Markdown
Using R Markdown. All R code should be included, as well as all output produced.
University of California San Diego Applied Statistical Models Using R Markdown
Using R Markdown. All R code should be included, as well as all output produced.
MATTH 225N Chamberlain College Wk 7 Statistical Reasoning Lab Questions
Demonstrate
Steps to Complete the Week 7 Lab
Step 1: Find these articles in the Chamberlain Library. Once you click each l ...
MATTH 225N Chamberlain College Wk 7 Statistical Reasoning Lab Questions
Demonstrate
Steps to Complete the Week 7 Lab
Step 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text".
First Article: Confidence Intervals, Part 1 (Links to an external site.)
Second Article: Confidence Intervals, Part 2 (Links to an external site.)
Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights.
Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with plus the 10 heights provided by your instructor), discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random). What are some faults with this type of data collection? What other types of data collection could you have used, and how might this have affected your study?
Step 4: Now use the Week 6 Spreadsheet to help you with calculations for the following questions/statements.
a) Give a point estimate (mean) for the average height of all people at the place where you work. Start by putting the 20 heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean?
b) Find a 95% confidence interval for the true mean height of all the people at your place of work. What is the interval? [see screenshot below]
c) Give a practical interpretation of the interval you found in part b, and explain carefully what the output means. (For example, you might say, "I am 95% confident that the true mean height of all of the people in my company is between 64 inches and 68 inches").
d) Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence Interval tab on the Week 6 Excel spreadsheet
Step 5: Now, change your confidence level to 99% for the same data, and post a screenshot of this table, as well.
Step 6: Compare the margins of error from the two screenshots. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the depen ...
Deliverable 6 - Analysis with Correlation and Regression
CompetencyDetermine the linear correlation and regression equation between two variables to make predictions for the dependent variable.Student Success CriteriaView the grading rubric for this deliverable by selecting the “This item is graded with a rubric” link, which is located in the Details & Information pane.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet that contains the following information:Magnitude measured on the Richter scaleDepth in kmWhat to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slide
Slide 2: Introduce your scenario and data set including the variables provided.
Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.
Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.
Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.
Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.
Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.
Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.
Earn money selling
your Study Documents